Data Computer Vision Project

CommonlyConsumedFishDataset

Updated 3 years ago

226

views

7

downloads
Classes (19)
Aair
Boal
Chapila
Foli
Ilish
KalBaush
Katla
Koi
Magur
Mrigel
Pabda
Pangas
Rui
Shol Taki
Tarabaim
Telapiya
Tengra
\

Metrics

Try This Model
Drop an image or
Description

Here are a few use cases for this project:

  1. Fisheries Management: The model can support aquaculture farmers in identifying different species and effectively managing fish stocks. It can help recognize the various types of fish in their ponds and monitor the balance between species.

  2. Biodiversity and Conservation Studies: Scientists, researchers, and conservationists can use the model to identify different Aair classes and evaluate the health and biodiversity of aquatic ecosystems, facilitating better conservation efforts.

  3. Fish Market Regulation: Regulatory bodies can use the model to automate fish identification in markets to ensure correct labelling and compliance with trade rules and prevent the selling of endangered species.

  4. Education and Training: The model can serve as an educational tool for training students and researchers in the field of ichthyology, helping them to accurately identify different species of fish.

  5. Seafood Restaurants and Fishmongers: Use this model to identify different types of fish, ensuring the quality of their products and providing correct information to customers.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            data-tvlbr_dataset,
                            title = { Data Dataset },
                            type = { Open Source Dataset },
                            author = { CommonlyConsumedFishDataset },
                            howpublished = { \url{ https://universe.roboflow.com/commonlyconsumedfishdataset/data-tvlbr } },
                            url = { https://universe.roboflow.com/commonlyconsumedfishdataset/data-tvlbr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-12-22 },
                            }